To　guide　coordinated　development　of　clean　energy　and　power　grid,　this　paper　proposes　a　novel　methodology　for　joint　planning　of　wind　farm,　energy　storage　and　transmission　to　ensure　sound　wind　farm　investment.　Specifically,　a　two-stage　planning　model　covering　planning　decision-making　and　operation　evaluation　is　established,　considering　constraints　concerning　equipment　investment,　energy　storage　operation,　wind　power　quotas　and　guaranteed　wind　power　utilization.　Information　gap　decision　theory　is　applied　to　manage　the　long-term　uncertainties　of　load　growth　while　chance　constraints　are　formulated　to　control　adaptability　of　planning　schemes　to　the　short-term　uncertainties　of　wind　power.　To　solve　the　planning　problems　efficiently,　this　paper　also　designs　a　suitable　variant　of　Benders　decomposition　algorithm　and　corresponding　convergence　criteria　and　enhancement　strategy.　Numerical　results　show　that　the　proposed　model　can　be　used　in　conjunction　with　construction　of　wind　power　to　optimize　transmission　and　wind-farm-side　energy　storage,　effectively　realizing　sound　wind　farm　investment　and　sufficient　wind　power　utilization.　The　proposed　solution　algorithm　can　also　drastically　enhance　computational　efficiency.　©　2019,　Power　System　Technology　Press.　All　right　reserved.